Figure 1

It is clear that the US, Canada, Australia and and Europe have the highest GDP. Moreover, it appears that the highest GDP comes from the Scandinivian countries. For the other countries, their GDP was really low in the early 2000s but many of these countries has seen rise in their GDP. The US, Canada, Australia, and Europe have also seen dramatic growth in their GDP. Africa stands out in particular, as starting with extremely low GDP and really not increasing it in the span of 19 years. Some reasons why GDP might be low is because there might be a lack of recourses as a result of a countries location, climate, and political stability. Moreover, a country with poor infastructure might lead to lower GDP because it makes it difficult to transfer and move the goods. Finally, a country’s technological status and education is key for GDP growth because they help develop new ideas, goods, and products.

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Figure 2

Through our finding in renewable energy consumption, it is clear that the African countries have greater levels of energy consumption. It is illustrated that Asia, the Middle East, and North America have lower levels of renewable energy consumption. When looking at the changes over the years, one dramatic change is that the US is increasing its renewable energy consumption and countries in Asia are decreasing their renewable energy consumption. Moreover, Europe has been increasing their renewable energy consumption as well.

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Figure 3

For annual production based emissions of carbon dioxide, it is illustrated that the countries with the greatest levels of carbon dioxide emissions are the United States, Russia, China, and India. However, over the span of the 19 years Russia has not changes at all. Another change is that the United States has reduced their carbon emissions in the span of the 19 year. China and India have moved in opposite directions, as they have increased their carbon dioxide emissions in the 19 year span. Another country that has increased their carbon dioxide emissions is Brazil. The most noticeable change on the map is the extreme amount of carbon emissions that China increases in. In the early 2000s China’s emissions were less than the United States, and at the end of the 19 year period the country pretty much doubles their emissions are the country changed to the color red on the map. Therefore, one could make the conclusion that the US is headed in the right direction of improving their approach to sustainability and countries like China, India, and Brazil are headed in the opposite direction.

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Figure 4

The next map, presents the percentage of a country’s population with electricity access. Here, it is evident that mainly every continent besides Africa has access to electricity. There are a few exceptions however; Mongolia, India, and the north western countries in South America have slightly lower than 100% of the population with electricity access. However, during the 19 years presented in the graph, all of these countries have increased their electricity access. The continent of Africa, despite the northern of Africa, have extremely low energy access. There has been slight improvements in increase the access of electricity, but over the span of 19 years there really hasn’t been any significant changes. This lack of electricity is an extreme issue, which is a detriment to the daily lives of those who live there. Electricity is vital for healthcare, education, and communication. Moreover, this can lead to lower economic growth and fewer job opportunities. Less electricity can play a direct role on the sustainability of the environment. First, those without electricity create energy by burning biomass, often resulting in air pollution, deforestation and many other climate problems.

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Figure 5

In the map that explores life expectancy at birth, all countries across the globe have seen increases in life expectancy. The countries with the highest life expectancy are Japan, Australia, European countries, and Canada. These countries all have the life expectancy of slightly above 80 years old. The rest of North America, most of South America, China, and the Middle East have life expectancies around the mid 70s. Russia, the rest of the Asain countries, few of the other countries in South America, and North African countries have life expectancies slightly lower than that. However, the majority of Africa has extremely low life expectancies compared to the rest of the world. While these Africa countries have seen improvements in the last 19 years in life expectancy, there numbers are still significantly lower than others. Lower life expectancy is typically caused by reduced health care and education. More specific reasons why many countries in Africa have lower life expectancy are results of disease, political instability, and enviormental factors such as drought.

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Links

Clicking on the link below will take you to our Shiny App. Here, we have used actual energy consumption data from the Office of Sustainability at Amherst College to measure energy consumption during the 2021-2022 academic year. In the first plot, which is a line chart, we looked at a time series where we tracked the average day of energy consumption in each dorm. The energy consumption was measured in 5 minutes increments and in Kilowatts Per Hour (kw/h). In the app, the user is able to select which freshman dorm they desire to inspect, and whether they want to measure the energy consumption in total energy every 5 minutes or energy usage per capita. In the following section of the app, seasonal energy usage shows the seasonal differences in energy consumption for each dorm from the use of bar charts. In this panel of the Shiny app, you can select which season you would like to view as well as whether you want the data to be presented in total energy per 5 minutes or in energy per capita. The last feature of the shiny app displays energy usage per day type. This allows you to select energy use for any day of the week, as well are giving one the ability to plot either weekdays or weekends. This is shown through bar graphs are well.

Shiny App

Link to the Sustainability Dataset: https://www.kaggle.com/datasets/truecue/worldsustainabilitydataset/code?resource=download